hotskills.tech

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Minimum Qualifications • Bachelor's degree or equivalent practical experience. • 8 years of experience in software development. • 5 years of experience testing, and launching software products. • 3 years of experience with software design and architecture. • 2 years of experience with GenAI techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision). • Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML disciplines. Preferred Qualifications • Masters degree or PhD in Engineering, Computer Science, or a related technical field. • 8 years of experience with data structures/algorithms. • 3 years of experience in a technical leadership role leading project teams and setting technical direction. • 3 years of experience working in an organization involving cross-functional, or cross-business projects. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Docs teams mission is to differentiate the Google Docs editor and connect our users through powerful and simple tools for collaboration and productivity. Our strategy is to build new ways of collaborating within Docs and across Workspace powered by Generative AI. We will continue to work on ways to help users write beautiful, productive documents more efficiently using assistive technologies. We will not only work across Workspace, but build the next generation of productivity tools for all our users. AI will change the future of work in profound ways, and our products Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world. The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities • Conduct evaluations and assessments for Generative AI models to build high quality AI features in Docs and Editors. • Develop machine learning systems and full-stack client-server features. • Design and implement exciting features that are high quality and provide real user benefit. • Deliver real user value as Google develops the Generative AI capabilities. • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. job perk: Posted At: 1 day ago, job perk: Schedule Type: Full-time, job perk: Health Insurance: True